When data points are linked to one another, the whole generates more intelligence than the sum of its parts. From the social graph to the knowledge graph, the interest graph to the transactions graph, proprietary data networks drive the generation of new…

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NetworkX is an established fundamental Python package for the analysis of complex networks; using real-world examples, I will describe our basic data model, provide an overview of features including supported data formats and algorithms, and discuss…

Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While…

Get to know the hidden structures of interconnected things and how to exploit them - Free Course

According to Carl Sagan, the beauty of a living thing is not the atoms that go into it, but the way those atoms are put together. In our cells, atoms compose a multitude of molecules such as proteins and DNA, which coexist in a complex, mutually dependent…

You might know Albert-László Barabási as the author of the best-seller book, Linked: The New Science of Networks. Professor Barabási's seminal work led to the understanding of the common structure of diverse complex systems: natural, technological, and social.…

In this video, I show you how to install and use Gephi to do some basic network analysis of a large Ming dynasty social network derived from the China Biographical Database (https://projects.iq.harvard.edu/cbdb/). In the follow up video, I will show you how…

The lecture and noscripts used in this video can be found on our website: www.virtualsimlab.com

Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their…